Construction of a clinical prediction model for severe compensatory hyperhidrosis after thoraco-scopic thoracic sympathectomy for primary palmar hyperhidrosis
Objective To construct a clinical prediction model for severe compensatory hyper-hidrosis(SCH)following endoscopic thoracic sympathectomy(ETS)for primary palmar hyperhidrosis(PPH).Methods The study included 115 PPH patients who underwent ETS surgery at the Department of Thoracic Surgery,First Affiliated Hospital of Xinjiang Medical University,from February 2017 to March 2023.Patient follow-up was conducted to collect information on postoperative SCH occurrence.Patients were divided into two groups:a non-SCH(NSCH)group with 89 patients and an SCH group with 26 pa-tients.Logistic regression analysis was done to identify independent risk factors for postoperative SCH and build a predictive model,then the model was evaluated using ROC curves.Tukey's test was used for pair-wise comparison.Results The results of multivariate Logistic regression analysis revealed that age[odds ratio(OR)=1.111,95％CI:1.026-1.214,P＜0.05],smoking(OR=20.345,95％CI:5.623-29.768,P＜0.05),and severity of PPH symptoms(OR=4.093,95％CI:1.308-14.702,P＜0.05)were identified as independent risk factors for SCH.These significant risk factors were incorporated into the development of a clinical prediction model.The area under the ROC curve of the predictive model was 0.874,with a sensitivity of 0.885 and specificity of 0.697.Conclusion ETS patients who are older,have a history of smoking,and experience severe symptom are more prone to developing SCH.High-risk individuals after surgery can be identified through the use of clinical prediction models.
Primary palmar hyperhidrosisEndoscopic thoracic sympathectomyCompensatory hyperhidrosisPrediction model
NETL
NSTL
万方数据
